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Demetrios, from the MLOps Community, joins the podcast to discuss fine-tuning vs. retrieval augmented generation. They also talk about OpenAI Enterprise, the MLOps Community LLM survey results, and the orchestration and evaluation of generative AI workloads.
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- The MLOps community has organized events that have successfully facilitated discussions, knowledge sharing, and networking among experts and enthusiasts in the AI community, covering various topics including fine-tuning practices.
- The adoption of large language models (LLMs) has expanded beyond traditional use cases, with organizations using LLMs for data enrichment, subject matter expert support, and other creative applications, leading to increased adoption and exploration of LLMs across industries.
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The Rise of MLOps Community Events
The MLOps community has been organizing a wide range of events, from conferences to meetings and hackathons, to bring together individuals interested in the field of AI and machine learning operations. These events have gained significant traction and have been successful in providing a platform for discussions, knowledge sharing, and networking among experts and enthusiasts in the AI community. The events have covered various topics, including the challenges and advancements in MLOps, use cases, stack development, and fine-tuning practices. The community has expanded globally, with MLOps meetups established in multiple cities across the world, reflecting the growing interest and engagement in the field.
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